• DocumentCode
    176521
  • Title

    Structure choice and equilibrium analysis on high timeliness merchandise distribution channel

  • Author

    Qian Wu ; Fenyi Dong ; Rong Zhang ; Bin Liu

  • Author_Institution
    Coll. of Inf. & Manage. Sci., Henan Agric. Univ., Zhengzhou, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    3243
  • Lastpage
    3248
  • Abstract
    This paper addresses the pricing decision of the high timeliness merchandise under dynamic uncertainty, and investigates three different dual channel structures including retail channel, online channel and name-your-own-price (NYOP) channel. Firstly, this paper develops the aggregate demand function based on consumer utility theory, then analyzes the equilibrium pricing strategy and profit under different channel structures by using game theory, exploring whether the supplier should introduce online channel or NYOP channel. The results demonstrate that online channel structure enables supplier to obtain more profits than retail channel structure. For traditional retailer, the dual channel structure including NYOP is optimal when the consumer friction coefficient is not greater than four out of five consumer transportation coefficient.
  • Keywords
    game theory; goods distribution; pricing; profitability; retailing; supply chains; transportation; utility theory; NYOP channel; aggregate demand function; consumer friction coefficient; consumer transportation coefficient; consumer utility theory; dual channel structure; dynamic uncertainty; equilibrium analysis; equilibrium pricing strategy; game theory; high timeliness merchandise distribution channel; name-your-own-price channel; online channel structure; pricing decision; profit; retail channel structure; structure choice; Educational institutions; Electronic mail; Games; Merchandise; Pricing; Supply chains; Transportation; Dual channel; Equilibrium; High timeliness merchandise; NYOP;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852734
  • Filename
    6852734